iPhone 8 Plus
Geekbench ML Score
630
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for iOS AArch64
Result Information
| Upload Date | November 19 2025 09:08 AM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | iOS 16.7.12 |
| Model | iPhone 8 Plus |
| Model ID | iPhone10,5 |
| Motherboard | D211AP |
| CPU Information | |
|---|---|
| Name | Apple A11 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.39 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 48.0 KB x 1 |
| L1 Data Cache | 32.0 KB x 1 |
| L2 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 2.90 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
178
33.3 IPS |
|
|
Image Classification (F16)
|
100% |
146
27.3 IPS |
|
|
Image Classification (I8)
|
99% |
144
26.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
186
3.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.32 IPS |
|
|
Image Segmentation (I8)
|
100% |
199
3.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
2319
2.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
2651
3.21 IPS |
|
|
Pose Estimation (I8)
|
100% |
2702
3.27 IPS |
|
|
Object Detection (F32)
|
100% |
295
22.0 IPS |
|
|
Object Detection (F16)
|
100% |
286
21.4 IPS |
|
|
Object Detection (I8)
|
97% |
288
21.5 IPS |
|
|
Face Detection (F32)
|
100% |
932
11.1 IPS |
|
|
Face Detection (F16)
|
100% |
978
11.6 IPS |
|
|
Face Detection (I8)
|
99% |
1010
12.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
2266
17.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2557
19.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
2528
19.6 IPS |
|
|
Style Transfer (F32)
|
100% |
4310
5.67 IPS |
|
|
Style Transfer (F16)
|
100% |
5334
7.02 IPS |
|
|
Style Transfer (I8)
|
100% |
4484
5.90 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1240
44.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1095
39.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1029
36.7 IPS |
|
|
Text Classification (F32)
|
100% |
50
72.1 IPS |
|
|
Text Classification (F16)
|
100% |
197
283.5 IPS |
|
|
Text Classification (I8)
|
96% |
196
281.8 IPS |
|
|
Machine Translation (F32)
|
100% |
308
5.66 IPS |
|
|
Machine Translation (F16)
|
100% |
240
4.41 IPS |
|
|
Machine Translation (I8)
|
99% |
310
5.70 IPS |
